Data you can trust, on people you can’t
OpenSanctions helps investigators find leads, allows companies to manage risk and enables technologists to build data-driven products.
People and companies that matter
Persons of interest data provides the key that helps analysts find evidence of sanctions evasion, money laundering and other criminal activity.Clean and transparent data
Our open source data pipeline takes on the complex task of building a clean, de-duplicated, and well-understood dataset.Sources with global scope
We integrate data from 314 global sources, including official sanctions lists, data on politically exposed persons and entities of criminal interest.Use OpenSanctions to manage business risk
OpenSanctions is free for non-commercial users. Business and commercial users must either acquire a data license to use our high-quality dataset, or subscribe to our pay-as-you-go API service.
What we’ve been building RSS
Updates from OpenSanctions, including new features, technical deep dives, and analysis.
Here’s everything that goes wrong when AI does text extraction (and how we’re still using it)
Tags: LLMs, Free text · Published:
From dropping middle names to hallucinating details that were never mentioned in the first place, mistakes are commonplace in Large Language Model (LLM) data extraction. Here’s how we’re embracing automation to extract entities and turn them into structured risk data (with a healthy dose of scepticism and human moderation).
Launching our enforcements collection — and bringing context to OFAC sanctions
Tags: Enforcement actions, OFAC · Published:
Press releases and online notices detailing enforcement actions can flag fines, penalties, and historical regulatory issues. In this article, we explain how we’re using free text sources to build a deeper understanding of entities and their networks — and how we’re tackling the extraction challenges along the way.
Investigating financial crime: Five things I learned at #GIJC25
Tags: GIJC25, Journalism · Published:
Our Commercial Director, Frederik Richter, attended the Global Investigative Journalism Conference (GIJC) in Kuala Lumpur last weekend. Below, he reflects on three days of listening to journalists who have investigated financial crime and abuses of power around the globe.
How journalists can use OpenSanctions to find leads and strengthen stories
Tags: Investigative journalism · Published:
OpenSanctions is a cache of potential stories for investigative journalists — but it can be difficult to know where to start. In this article we explain how to screen names in our database, get a free API key, and cross-reference sanctions data with other data sets.
Rosetta, not Roulette: Improving sanctions screening results with our new logic-v2 matcher
Tags: Yente, Matcher · Published:
With yente 5.0, we’re introducing a new screening algorithm,
logic-v2. This new system reflects feedback from our users and introduces a more precise, explainable, and culturally-aware way to match names of people and companies.
Collections & datasets JSON
Collections are data distributions provided by OpenSanctions that combine entities from many sources based on a topic. Learn more...
Consolidated Sanctions
Consolidated list of sanctioned entities designated by different countries and international organisations. This can include military, trade and travel restrictions.
OpenSanctions Default
This distribution includes the data collected by OpenSanctions that meets quality standards and would be useful in a screening system or for investigative use.
Special interest collections contain selections of the data that are more specialised than the default collections.
| Name | Updates | Entities | ||
|---|---|---|---|---|
| Debarred Companies and Individuals | daily | 208,902 | ||
| Know-Your-Business (KYB) Datasets | monthly | 87,999,121 | ||
| Maritime-related sanctions | daily | 124,779 | ||
| Politically Exposed Persons Datasets | daily | 1,009,610 | ||
| Regulatory Watchlists | daily | 162,292 | ||
| Sanctioned Securities | daily | 375,299 | ||
| Warrants and Criminal Entities | daily | 255,164 | ||
